An Improved Threshold Approximation for Local Vote Decision Fusion

作者：Ridout Martin S^*

来源：IEEE Transactions on Signal Processing, 2013, 61(5): 1104-1106.

DOI：10.1109/TSP.2012.2235435

• Beta-binomial distribution
• false alarm rate
• sensor network
• target detection

Local vote decision fusion is a recently proposed method of target detection for a wireless sensor network in which individual sensors combine their decisions with those of their neighbors and report to a fusion center only if there is a majority in favor of presence. The fusion center reaches a final decision about presence or absence according to whether the number of positive reports exceeds a threshold. This has been shown to give a higher target detection rate, for a specified false alarm rate, than a system in which sensors report their initial decisions directly to the fusion center. A critical aspect of the process is the appropriate setting of the threshold to achieve the specified false alarm rate. We suggest here a simple alternative to the normal approximation proposed previously and demonstrate that this gives more accurate results.

• 出版日期2013-3